Agent Blueprint
REMOTE · AGENTBLUEPRINT.AI
Measured agent costs, a one-page agent summary check, and an offline access map. No sign-in.
Available components
Last scanned (17 minutes ago)
Scores higher than 58% of remote servers
Reachable. Last reached 5 Nov 2026.
Category AI and Machine Learning
How this component scores in each security and reliability category. Every signal is checked automatically against the live server, and we only credit what we can confirm. How we score → Why this is hard to score →
Endpoint Security80
- The endpoint's TLS certificate is valid, in date, and uses a strong key. View diagnostics → Pass
- No authorisation is required to call this server. Every tool declares its destructiveHint and none is destructive, so open access doesn't expose one. See how to fix → View diagnostics → Partial
- HTTPS is enforced; there's no plaintext access path. View diagnostics → Pass
- The HSTS (Strict-Transport-Security) header is present. View diagnostics → Pass
- DNSSEC check failed: this domain isn't protected by DNSSEC. See how to fix → View diagnostics → Fail
Transport & Reachability100
- Verified streamable-http transport via a live MCP handshake. View diagnostics → Pass
Schema Quality & AI Usability66
- AI-judged instruction clarity (good).Pass
- Context-footprint check failed: tool/resource definitions use about 664 tokens (~166/item across 4 items; 4 tools + 0 resources), over budget; trim descriptions and params. See how to fix → Fail
- Usage-examples check failed: none of the tools include examples. See how to fix → Fail
Stability & Change Management7
- Stability observed for 2 of 30 days with no destabilising changes; credit accrues until the full window elapses.Partial
Tool Coverage83
- 100% of tools have a non-trivial description (not blank, and not just the tool's name).Pass
- 50% of tool parameters carry a description.Partial
Tool Safety100
- No prompt-injection markers were found in the server instructions, tool names or descriptions we captured.Pass
- We read all 4 captured tool definition(s), and no name or description among them implies an irreversible operation.Pass
- An AI judge read all 5 captured unit(s) of tool text and found none that tries to manipulate the model reading it.Pass
Capabilities100
- Implements a current MCP spec version (2026-07-28).Pass
Every change we have recorded for this component, newest first. Security-relevant changes are always shown. ▲ marks a change for the better, ▼ a change for the worse; unmarked changes are neutral.
- 5 Nov 26 +1
No change was recorded against any check on this day. Stability & Change Management went from 3 to 7. That category is still filling its 30-day observation window: 1 days of observed history at the previous scan, 2 at this one. The score rises as the window fills, whether or not the server changes.
- 4 Nov 26 0
- Tool “check_agent_one_page” rewrote its description, which is the text the model reads security
- Stability: unverified → 0.03 ▲ functional
- 3 Nov 26 71
First indexed and scored.
Diagnostic detail from the automated scan of this channel: what the scanner observed at each step, so you can see exactly where a check passed or failed. It is informational only and never changes the trust score.
Captured 5 Nov 2026 · Probed https://agentblueprint.ai/mcp
TLS valid
Negotiated TLS 1.3 with TLS_AES_128_GCM_SHA256 .
| Subject | Issuer | Valid from | Valid until | Key | Signature | Serial |
|---|---|---|---|---|---|---|
| CN=agentblueprint.ai | CN=YR2,O=Let's Encrypt,C=US | 6 Sept 2026 | 5 Dec 2026 | RSA 2048 | SHA256-RSA | 60efd3bca49274c9b2525d0daec600e57dc |
| SANs: agentblueprint.ai | ||||||
| CN=YR2,O=Let's Encrypt,C=US (CA) | CN=Root YR,O=ISRG,C=US | 3 Sept 2025 | 2 Sept 2028 | RSA 2048 | SHA256-RSA | 4ebd24947e24d394802d84a52fd5b319 |
| CN=Root YR,O=ISRG,C=US (CA) | CN=ISRG Root X1,O=Internet Security Research Group,C=US | 13 May 2026 | 2 Sept 2032 | RSA 4096 | SHA256-RSA | f24b6d17f9d9ad7cb1c9fea78782699f |
Background: What to check on a remote MCP endpoint →
DNSSEC insecure
Validation of agentblueprint.ai. — Not signed
| Zone | DS | Keys | Algorithms | Outcome |
|---|---|---|---|---|
| . | trust_anchor | 20326, 38696 | 8, 8 | Verified |
| ai. | present | 1814, 3799 | 8, 8 | Verified |
| agentblueprint.ai. | absent | Unsigned (proven) parent-signed NSEC/NSEC3 proves an unsigned delegation |
Authentication No authorisation required
The endpoint answered without asking for a token. Anyone who knows the URL can reach it.
| Result | No authorisation required |
|---|---|
| HTTP status | 200 |
| Header | Value |
|---|---|
| strict-transport-security | max-age=63072000 |
| x-content-type-options | nosniff |
| x-frame-options | SAMEORIGIN |
| referrer-policy | strict-origin-when-cross-origin |
| permissions-policy | camera=(), microphone=(), geolocation=(), payment=(), usb=() |
Background: How OAuth 2.1 works in the 2026 MCP spec →
Transports 2 probes
| Transport | URL | Outcome | Status | Location |
|---|---|---|---|---|
| streamable-http | https://agentblueprint.ai/mcp | Verified | 200 | |
| http (plaintext) | http://agentblueprint.ai/mcp | HTTPS enforced | 308 | https://agentblueprint.ai/mcp |
The tools this component advertises to a client, with an estimated token cost for each. Expand a tool to see its parameters and schema. The per-tool counts are indicative and are not scored directly; the schema's total context footprint is one signal in Schema Quality & AI Usability. A tool's description is untrusted text the model reads on every call, which is what makes this list a security surface and not just an inventory: how tool poisoning works →
check_agent_one_page Check a one-page agent summary ~126
Checks the structure of a one-page agent summary written from Agent Blueprint's template (https://agentblueprint.ai/agent-one-page-template): the summary and all seven numbered sections present and in order, a stage line, every rule ending in "Enforced by:" or "Not enforced:", every Open item naming who decides, no template placeholders left, and length within one page. It checks shape only, not whether the answers are right. The text is checked and returned findings only; it is not stored.
| Name | Type | Req | Description |
|---|---|---|---|
| markdown | string | yes | The full one-page summary as Markdown. |
No output schema declared.
No examples provided.
estimate_agent_cost Estimate an agent task's cost ~223
Estimates the tokens and dollar cost of an AI agent task from the measured benchmark job closest to it. For jobs where cost grows with how much the agent reads, give the size of the real input and it scales the reading part while keeping the agent's fixed overhead. Returns a typical and a budget (worst-case) figure per run and, if runs per month are given, per month. Uses the benchmark-day prices unless current prices are passed. The result is an estimate from small test jobs, not a quote.
| Name | Type | Req | Description |
|---|---|---|---|
| agent | string | yes | Which measured agent to base the estimate on. |
| job | string | yes | The closest benchmark job id, from list_benchmark_jobs. |
| prices | object | – | Current model prices in US dollars per million tokens. Leave out to use the benchmark-day prices. |
| runs_per_month | integer | – | How many times a month the job runs. |
| your_size | number | – | Size of the real input in the job's unit (words, or rows for the clean job). Ignored for jobs that don't scale. |
No output schema declared.
No examples provided.
list_benchmark_jobs List measured agent jobs ~107
Lists the ten everyday jobs in Agent Blueprint's measured agent cost benchmark (2 November 2026): what each job was, how big its input was, and the typical and worst-case tokens and dollar cost measured over five runs each on Claude Code and Codex. Use it to find the benchmark job closest to a task someone wants an agent to do, before estimating that task's cost.
| Name | Type | Req | Description |
|---|---|---|---|
| agent | string | – | Only show one agent's measurements. Leave out to show both. |
No output schema declared.
No examples provided.
render_agent_map Draw an agent's access map ~162
Turns an agent's own inventory of its connections into Agent Blueprint's one-page access map: a single offline HTML page showing what the agent can read and change, who has to approve, its riskiest powers, and what could be trimmed. The agent supplies the inventory from its own tool list; this tool only draws it. Returns the HTML for the person to save, such as my-agent-blueprint.html. The inventory is not stored. The field guide is at https://agentblueprint.ai/draw.md.
| Name | Type | Req | Description |
|---|---|---|---|
| agent | object | yes | – |
| checks | object | yes | – |
| connections | array | yes | – |
| drawn | string | yes | – |
| trim | array | yes | – |
| unseen | string | yes | – |
| version | string | yes | – |
No output schema declared.
No examples provided.
How do I install the Agent Blueprint MCP server?
Agent Blueprint is a hosted endpoint at https://agentblueprint.ai/mcp, so there is nothing to install locally. Ready-made configuration for Claude, Cursor, VS Code, Codex and 5 more is on this page, copied from each client's own documentation.
remote · agentblueprint.ai
claude mcp add --transport http ai-agentblueprint-agent-blueprint 'https://agentblueprint.ai/mcp'
What is the Agent Blueprint MCP server?
Agent Blueprint is an MCP server listed in the public MCP registry as ai.agentblueprint/agent-blueprint. Measured agent costs, a one-page agent summary check, and an offline access map. No sign-in. This page covers its hosted endpoint (https://agentblueprint.ai/mcp).
Is the Agent Blueprint MCP server safe to use?
Agent Blueprint scores 72 out of 100 on VerifyMCP. That is a record of what we were able to check automatically, not an endorsement. The category breakdown on this page shows every signal behind the number, including the ones we could not confirm.
What tools does the Agent Blueprint MCP server expose?
Agent Blueprint exposes 4 tools: list_benchmark_jobs, estimate_agent_cost, check_agent_one_page, render_agent_map. Their descriptions and schemas cost roughly 618 tokens of context every time the server is loaded.
Does the Agent Blueprint MCP server require authentication?
No. We connected to Agent Blueprint without credentials and it answered, so anything it exposes is reachable by anyone who knows the address.
Is the Agent Blueprint MCP server still maintained?
Agent Blueprint is still listed as active in the MCP registry. We last reached this channel on 5 November 2026. Those dates come from our own scans of the registry and the channel itself, not from anything the publisher announced.